Undergraduate Programme
For Men
Duration: 4 Years
The B.S. in Finance, Economics, and Data Analytics is an interdisciplinary programme that combines principles from finance, economics, and data analytics. This blend equips students with the skills to analyze financial markets, understand economic trends, and leverage data for decision-making.
Core Objectives
– Financial Acumen: Develop a strong foundation in financial theories, investment strategies, and risk management.
– Economic Insight: Understand macroeconomic and microeconomic principles and how they influence markets.
– Data Proficiency: Learn to collect, analyze, and interpret data using modern analytical tools and methodologies to inform business and economic decisions.
Career Options
– Finance: Financial analyst, investment banker, risk manager.
– Economics: Economic analyst, policy advisor, market researcher.
– Data Analytics: Data scientist, business analyst, quantitative analyst.
Key Skills Gained
– Critical thinking and problem-solving
– Advanced data interpretation and statistical analysis
– Economic forecasting and financial planning
– Proficiency in data-driven decision-making
This programme provides a comprehensive education integrating finance, economics, and data analytics, preparing students for a dynamic and data-centric business environment.
The courses are comprehensive and varied. In addition to the discipline-specific core and elective courses, students will benefit from Ability Enhancement Courses (AEC), Multidisciplinary Courses (MDC), Skill Enhancement Courses (SEC), Value Added Courses (VAC), Internship and Industrial Visits.
B.S. (Hons.) in Finance, Economics and Data Analytics
For students who complete a 4-year (8-semester) programme of study.
B.S. (Hons. with Research) in Finance, Economics and Data Analytics
For students who secure a CGPA of 7.5 or more after the first six semesters (3 years of study) and pursue a research project during the fourth year.
Entry & Exit options as per NEP 2020 Policy.
- 10+2 years of schooling from a recognized board (CBSE or equivalent) with Mathematics as a core subject
- Either passed or appeared for Final exams at XII level before Admissions. If not appeared for XII Standard exams, X and XI Standard marks will be considered
- Consistent academic performance of 60% aggregate marks in X and/or XII Standard
- Age: Preferably below 19 years as of 30th June in the year of admission
YEAR 1
Semester 1
Introductory Microeconomics
Differential Calculus
Introductory Statistics
Basic Python Programming
Awareness Course I: Sai Education for Transformation (Based on Bhagawan Baba’s Life and Teachings)
Semester 2
Introductory Macroeconomics
Integral Calculus
Probability Theory and distributions
Advanced Python Programming
Awareness Course II: Unity of Religions
YEAR 2
Semester 3
Mathematical Economics
Basic Linear Algebra
Statistical Inference
SQL
Awareness Course III: Study of Classics I – Ramakatha Rasavahini
Semester 4
Econometrics
Differential Equations
Optimisation Techniques
Cyber Security
Awareness Course IV: Study of Classics II – Bhagavatha Vahini
YEAR 3
Semester 5
Indian Economy: Structure and Development
Intermediate Microeconomics
Financial Economics
Applied Data Science Techniques*
Artificial Intelligence and Machine Learning*
Elective I
Awareness Course V: Ethos and Values for the Changing World
Semester 6
Public Finance
Intermediate Macroeconomics
Corporate Finance
Big Data and Optimization*
Neural Networks and Deep Learning*
Elective – II
Internship
Awareness Course VI: Life and its Quest
YEAR 4
Semester 7
B.S. (Hons.) Courses:
Ethics, Economy and Society
Research Methodology
Financial Risk Management
Visual and Textual Data Processing*
Generative AI and MLOps*
Computer Applications in Economic Analysis III
Elective – III
Awareness Course VII: Education for Life
B.S. (Hons. with Research) Courses:
Ethics, Economy and Society
Research Methodology
Financial Risk Management
Visual and Textual Data Processing*
Generative AI and MLOps*
Computer Applications in Economic Analysis III
Elective – III
Research: Project Review
Awareness Course VII: Education for Life
Semester 8
B.S. (Hons.) Courses:
Financial Derivatives
Fintech: Foundations and Applications
Elective – IV
Awareness Course VIII: God, Society and Man
B.S. (Hons. with Research) Courses:
Research: Project
Awareness Course VIII: God, Society and Man
* Lab-based Courses
ELECTIVES
Students will be offered a wide choice of electives, including:
- Behavioural Economics and Finance
- Computational Finance
- Economics of Insurance
- Emerging Market Economies
- Financial Econometrics
- Financial Institutions and Markets
- Financial Reporting and Analysis
- Financial Services
- Forecasting Methods for Economics and Finance
- Innovation and Entrepreneurial Finance
- International Economics and Finance
- International Finance
- Rural Finance
- Underwriting and Actuarial Applications